Keqiu Li

Latest

• A Game-Based Adversarial DGA Detection Scheme Using Multi-Level Incremental Random Forest
• Component-distinguishable Co-location and Resource Reclamation for High-throughput Computing
• Synergy: Collaborating Centralized and Local Scheduling for Serverless Functions
• Flame: A Centralized Cache Controller for Serverless Computing
• High-throughput Sampling, Communicating and Training for Reinforcement Learning Systems
• Low-cost crossed probing path planning for network failure localization
• PKDGA: A Partial Knowledge-Based Domain Generation Algorithm for Botnets
• Robust website fingerprinting through resource loading sequence
• An Online Cost-Efficient Transmission Scheme for Information-Agnostic Traffic in Inter-Datacenter Networks
• INFless: a native serverless system for low-latency, high-throughput inference
• Learning-Driven Cloud Resource Provision Policy for Content Providers With Competitor
• Less Provisioning: A Hybrid Resource Scaling Engine for Long-Running Services With Tail Latency Guarantees
• Maxwell's Demon in Tail-tolerant, Resource-efficient Serverless Computing
• PKDGA: A Partial Knowledge-based Domain Generation Algorithm for Botnets
• Tetris: Memory-efficient Serverless Inference through Tensor Sharing
• Robust Anomaly Detection Using Reconstructive Adversarial Network
• Understanding, predicting and scheduling serverless workloads under partial interference
• A holistic cross-layer optimization approach for mitigating stragglers in in-memory data processing
• Glad: Global And Local Anomaly Detection
• Rhythm: component-distinguishable workload deployment in datacenters
• XShot: Light-weight Link Failure Localization using Crossed Probing Cycles in SDN
• Cloud Resource Provision of Competitive Content Providers: Models and Analysis
• ElaX: Provisioning Resource Elastically for Containerized Online Cloud Services
• On evaluating the resource usage effectiveness of multi-tenant cloud storage
• QIMS: QoE-Centric Information-Agnostic Mix-Flows Scheduling in SD-WAN
• A Stochastic Model for Analyzing Tail Latency of Multi-Tier Online Cloud Services
• Experience-Availability Analysis of Online Cloud Services using Stochastic Models
• Less Provisioning: A Fine-grained Resource Scaling Engine for Long-running Services with Tail Latency Guarantees
• More Requests, Less Cost: Uncertain Inter-Datacenter Traffic Transmission with Multi-Tier Pricing
• Experience Availability: Tail-Latency Oriented Availability in Software-Defined Cloud Computing